code: def iou_transform(ex_rois, gt_rois):
      """return bbox targets, IoU loss uses gt_rois as gt"""
      assert (
          ex_rois.shape[0] == gt_rois.shape[0]
      ), "inconsistent rois number"
      return gt_rois
  
file_path: insightface/detection/retinaface_anticov/rcnn/processing/bbox_transform.py
imports: import numpy
  from ..cython.bbox import bbox_overlaps_cython
label_desc: Use image node_id 8 for calling a global function with example usage: iou_transform(ex_rois, gt_rois) and returns: gt_rois